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Feedback cancellation in speech signal using LMS algorithm
Other Title(s)
إلغاء الصفير في إشارة الكلام باستخدام خوارزمية LMS
Author
Source
Damascus University Journal of Engineering Sciences
Issue
Vol. 33, Issue 2 (31 Dec. 2017), pp.23-29, 7 p.
Publisher
Publication Date
2017-12-31
Country of Publication
Syria
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
Acoustic feedback is a well-known problem in reinforcement systems, which is caused by the undesired acoustic coupling between the loudspeaker and the microphone.
Acoustic feedback limits the maximum amplification used in the reinforcement systems without making it unstable.
Feed forward suppression techniques are widely used in this context to alternate the forward path in the reinforcement systems and reduce the feedback signal.
However, they limit the amplification in the forward path and can lead to severe sound quality distortions in loudspeaker signal.
This paper focuses on the adoption of the Least Mean Square (LMS) Algorithm of adaptive filtering as a solution to reduce this unwanted signal in speech signal and thus increase speech quality.
LMS algorithm of adaptive filtering in the cancellation system is then validated by computing the filter coefficients using discrete signal processing in MATLAB.
Dr.
Bassam Lala
American Psychological Association (APA)
Lala, Bassam. 2017. Feedback cancellation in speech signal using LMS algorithm. Damascus University Journal of Engineering Sciences،Vol. 33, no. 2, pp.23-29.
https://search.emarefa.net/detail/BIM-930716
Modern Language Association (MLA)
Lala, Bassam. Feedback cancellation in speech signal using LMS algorithm. Damascus University Journal of Engineering Sciences Vol. 33, no. 2 (2017), pp.23-29.
https://search.emarefa.net/detail/BIM-930716
American Medical Association (AMA)
Lala, Bassam. Feedback cancellation in speech signal using LMS algorithm. Damascus University Journal of Engineering Sciences. 2017. Vol. 33, no. 2, pp.23-29.
https://search.emarefa.net/detail/BIM-930716
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 29
Record ID
BIM-930716